Data Action failing on DNC compliance check for contact list sync

Hey everyone,

I’m hitting a wall with my nightly Python script for contact list automation. I’m attempting to update DNC flags via PATCH /api/v2/outbound/contacts, but the console is returning a 422 Unprocessable Entity.

My environment is running Architect 2024Q3 with Outbound API v2. The flow triggers a custom Data Action to validate callable time rules before pushing the changes. The JSONPath mapping looks solid, so I’m confident the structure is correct.

{"errors": ["callable_time_rule_violation"]}

I suspect the EST offset isn’t applying correctly in the payload, which is tripping up the compliance validation.

Has anyone encountered issues with the offset handling in the callable time rules? Any advice on debugging this loop would be great.

Are you routing the timezone offset through a Lambda transform or just passing it raw in the Architect expression? Cause: genesyscloud-python drops the offset field when the outbound contact payload exceeds 2KB, which triggers the 422 on the DNC validation step anyway. Solution: platformClient doesn’t auto-convert EST offsets, so you’ll need to map it manually before the Data Action fires. You’ll also want to strip the nested callableTimeRules array since the Outbound API v2 rejects arrays in the PATCH body. Here’s the exact JSON structure that bypasses the schema validation:

{
 "contactId": "{{contact.id}}",
 "doNotCall": true,
 "doNotCallSource": "manual",
 "offset": "-05:00",
 "callableTimeRules": null
}

The EventBridge rule needs to catch the outbound.contact.updated event and push a flattened object to the Lambda handler. Keep the payload under the limit or the SDK will just silently drop the fields again.

The suggestion above touches on the offset dropping, but the real bottleneck is how the Outbound API handles DNC validation during bulk patches. Don’t throw raw callable time rules into the payload. It’s a guaranteed way to trip the 422 because the scheduler expects a flat UTC window, not a nested array. Customers get stuck in retry loops waiting for a callback that never actually queues. It completely ruins the scheduling experience.

You’ll bypass the Data Action entirely if you push a single scheduled window instead. The platform validates against the contact home timezone automatically when the offset is formatted correctly.

{
 "callable_time_rules": [
 {
 "type": "SCHEDULE",
 "schedule": "MO-FR 09:00-17:00",
 "timezone": "America/New_York"
 }
 ],
 "do_not_call": true
}

Grabbed a screenshot of the Architect console validating this exact structure. Keeps the retry logic from choking on malformed JSON. Just watch the polling interval or the outbound queue drops it.